The Relationship between Fuzzy Reasoning and its Temporal Characteristics for Knowledge Management Systems

Mazilescu, Vasile (2010): The Relationship between Fuzzy Reasoning and its Temporal Characteristics for Knowledge Management Systems.

Abstract

The knowledge management systems based on artificial reasoning (KMAR) tries to provide computers the capabilities of performing various intelligent tasks for which their human users resort to their knowledge and collective intelligence. There is a need for incorporating aspects of time and imprecision into knowledge management systems, considering appropriate semantic foundations. The aim of this paper is to present the FRTES, a real-time fuzzy expert system, embedded in a knowledge management system. Our expert system is a special possibilistic expert system, developed in order to focus on fuzzy knowledge.

• Item Type: MPRA Paper
• Language: English
• Keywords: Knowledge Management, Artificial Reasoning, predictability
• Subjects: C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C63 - Computational Techniques ; Simulation Modeling; C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology ; Computer Programs > C88 - Other Computer Software

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